You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
85 lines
3.1 KiB
85 lines
3.1 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#include "paddle/fluid/operators/cum_op.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
class CumOp : public framework::OperatorWithKernel {
|
|
public:
|
|
using framework::OperatorWithKernel::OperatorWithKernel;
|
|
|
|
void InferShape(framework::InferShapeContext *ctx) const override {
|
|
ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
|
|
ctx->ShareLoD("X", /*->*/ "Out");
|
|
}
|
|
};
|
|
|
|
class CumsumOpMaker : public framework::OpProtoAndCheckerMaker {
|
|
public:
|
|
void Make() override {
|
|
AddInput("X", "Input of cumsum operator");
|
|
AddOutput("Out", "Output of cumsum operator");
|
|
AddAttr<int>("axis",
|
|
"The dimenstion to accumulate along. -1 means the last "
|
|
"dimenstion [default -1].")
|
|
.SetDefault(-1)
|
|
.EqualGreaterThan(-1);
|
|
AddAttr<bool>("exclusive",
|
|
"Whether to perform exclusive cumsum. [default false].")
|
|
.SetDefault(false);
|
|
AddAttr<bool>("reverse",
|
|
"If true, the cumsum is performed in the reversed direction. "
|
|
"[default false].")
|
|
.SetDefault(false);
|
|
AddComment(R"DOC(
|
|
The cumulative sum of the elements along a given axis.
|
|
By default, the first element of the result is the same of the first element of
|
|
the input. If exlusive is true, the first element of the result is 0.
|
|
)DOC");
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
class CumsumGradMaker : public framework::SingleGradOpMaker<T> {
|
|
public:
|
|
using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
|
|
|
|
protected:
|
|
std::unique_ptr<T> Apply() const override {
|
|
auto *grad_op = new T();
|
|
grad_op->SetType("cumsum");
|
|
grad_op->SetInput("X", this->OutputGrad("Out"));
|
|
grad_op->SetOutput("Out", this->InputGrad("X"));
|
|
grad_op->SetAttr("axis", boost::get<int>(this->GetAttr("axis")));
|
|
grad_op->SetAttr("reverse", !boost::get<bool>(this->GetAttr("reverse")));
|
|
grad_op->SetAttr("exclusive", boost::get<bool>(this->GetAttr("exclusive")));
|
|
return std::unique_ptr<T>(grad_op);
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
using CPU = paddle::platform::CPUDeviceContext;
|
|
|
|
REGISTER_OPERATOR(cumsum, ops::CumOp, ops::CumsumOpMaker,
|
|
ops::CumsumGradMaker<paddle::framework::OpDesc>,
|
|
ops::CumsumGradMaker<paddle::imperative::OpBase>);
|
|
REGISTER_OP_CPU_KERNEL(cumsum, ops::CumKernel<CPU, ops::CumsumFunctor<float>>,
|
|
ops::CumKernel<CPU, ops::CumsumFunctor<double>>,
|
|
ops::CumKernel<CPU, ops::CumsumFunctor<int>>);
|